BIOVIA EXPERIMENT
DATASHEET
BIOVIA Experiment is a first-in-class research and
development-focused laboratory informatics system
that enables R&D organizations to more efficiently
manage, analyze and mine knowledge from their
scientific experiments and data. BIOVIA Experiment
offers proven capabilities to reduce research costs and
accelerate product development in chemicals,
bioprocessing, catalysis, food & beverages, formulations
and other applications.
GET MORE VALUE FROM LABORATORY DATA
The diversity and complexity of the modern materials laboratory
make it difficult to transform scientific data into knowledge that
informs decisions. Because of this, up to 40% of all experiments
run are actually repeats of work that’s been done before but
can’t be found or evaluated. BIOVIA Experiment improves
laboratory efficiency and productivity, accelerates time to
innovation and supports sustainability strategies by improving:
• “What experiments have I already run using materials in this
concentration, under these conditions?”
• “What do the results tell us? How do they compare with
other similar experiments?”
• “What experiments should I run next to answer my questions
and achieve my goals?”
• Experiment Planning – Supports knowledge-driven and
statistically-designed experiments to minimize cost and
maximize effectiveness in the lab.
• Experiment Orchestration – Tracks samples through their
workflow, generating work requests when the next step
is ready to execute, promoting visibility and efficiency in
distributed teams. Complex workflows are also supported,
including sample branching and skipping of steps.
• Experiment Data Gathering – Collects data as soon as it is
produced from instruments or by bench technicians. Data
is immediately and automatically structured, eliminating
tedious manual piecing together of data from different
sources.
• Experiment Results Processing – Provides configurable
report templates with integrated charting, scatter plots and
interactive reporting options. Reports can be invoked during
experiment workflows (to assist with decision making) or at
the end.
• Data Mining and Knowledge Generation – Collates all
completed experiment plans and result data to build an
invaluable corporate knowledge asset that can be instantly
searched and mined. Improved data availability and enhanced
opportunity to reuse data minimize experiment repetition.
Most laboratories engaged in researching and developing
chemically-based materials have a variety of instruments
and systems in place that create and “manage” experimental
data with varying degrees of effectiveness. This distributed
information environment makes it very difficult to establish
the trends, patterns and relationships between experiments
and their results that make the data valuable to store in the
first place – leaving scientists unable to answer basic questions
such as:
Even with LIMS and other laboratory data management
systems in place, scientists struggle to find and interpret
information from previous experiments. This inability to learn
from previous efforts causes up to 40% of all experiments to
be repeated needlessly, wasting resources, time and money.
BIOVIA Experiment works with laboratory systems and
equipment to gather and structure data. The approach is to
track each sample through its entire lifecycle, from its creation
or acquisition through all of the physical and performance tests
performed on it. A complete picture of each sample is built up
in a single IT system. This approach reveals trends and patterns
that inform scientific decisions and experiment planning in a
way that accelerates R&D projects greatly.
Figure 1: BIOVIA Experiment tracking three samples through
different workflows consisting of combinations of preparation,
characterization and testing steps.
Figure 2: How BIOVIA Experiment structures experiments from high-level, step-type definition down to individual step execution
PLAN AND DESIGN EXPERIMENTS
Using BIOVIA Experiment, scientists can create new experiment
plans or derive them from templates of previous experiments.
The scientists can define the experiment workflow (sequence
of processes), input parameters for processes and the number
and origin of the samples that will pass through the workflow.
To answer questions and develop materials quickly and
efficiently, it is critical to minimize the number of samples and
therefore the overall cost of experimentation.
BIOVIA Experiment supports ad hoc experiment planning as
well as statistical “Design of Experiments” (DoE) tools that
help scientists design experiments efficiently. As well as
providing the ability to find and reuse the results of previous
experiments, BIOVIA Experiment enables planning and design
of new experiments that have maximum impact with minimum
cost.
Figure 3: A typical experiment plan, spanning preparation, characterization and testing
Figure 4: BIOVIA Experiment’s clear and concise picture of where all samples are in an experiment
MANAGE EXPERIMENT EXECUTION
BIOVIA Experiment provides a “plug-in” system that enables
direct integration of experiment plans with existing laboratory
equipment and systems. Equipment operators receive clear and
consistent instructions within experiment plans and otherwise
work with instrumentation exactly as they do today. The
system’s experiment dashboard shows progress of all samples
in the experiment plan.
Figure 5: A typical step validation wizard in BIOVIA Experiment
Experiment data is uploaded to BIOVIA Experiment via direct
import from instrument files, from a database or through
manual upload. Scientists can leverage BIOVIA Pipeline Pilot
capabilities to create “validation wizards” that take users
through a sequence of visualizations of recently uploaded data
designed to help them determine if the process has worked and
the data is correct. Visualizations typically include line plots,
scatter plots and tables that help to improve data quality and
consistency in experiment execution.
Figure 6: BIOVIA Experiment data analysis and visualization
ANALYZE EXPERIMENT DATA
EMPOWER SUSTAINABILITY
BIOVIA Experiment provides extensible capability to analyze,
visualize and mine experimental data using the power of the
BIOVIA Pipeline Pilot application. The system features a highly
flexible search engine based on material descriptors for all the
samples in the database. Categories of descriptors available for
single or multi-criteria search include but are not limited to:
Benefits of BIOVIA Experiment include improved laboratory
efficiency and productivity, faster time to innovation and
scientific/laboratory operations that support customers’
sustainability strategies. These benefits are delivered through:
• Input parameters
• Output data
• Sample pedigree (parent, siblings, children, raw materials,
reagent batches used)
• Sample origin (who made it, which project)
• Workflow (sequence, number of times through a process)
BIOVIA Experiment provides comprehensive tools to visualize
experiment data including tables, histograms, scatter plots and
more. Plug-in capabilities also enable integration with thirdparty analysis tools such as Microsoft Excel® spreadsheets and
popular visualization software.
BIOVIA Experiment also supports statistical data mining,
enabling scientists to spot trends and patterns that speed
the materials innovation process. Examples include principle
components analysis (correlations between parameters), factor
analysis (correlations between parameters), cluster analysis
(sample groupings) and predictive models (statisticallygenerated suggestions on “next best lead”).
• Extraction and collection of descriptive information from
multiple data sources such as LIMS, spreadsheets and
databases
• Better, more informed experiment plans
• Faster experiment execution
• Faster analysis of experimental data
• Fewer repeat experiments
• More scientific insight and value from all experimental data
BIOVIA UNIFIED LAB MANAGEMENT
BIOVIA Experiment is a component of the BIOVIA Unified
Lab Management suite, a comprehensive software offering
that optimizes operations, maximizes quality and drives
innovation. As a collection of standardized solutions built
on a single, unifying technology foundation, the BIOVIA
Unified Lab Management suite provides unique, role-based user
experiences for the lab.
Other related applications in the suite are:
• BIOVIA Inventory: Manages inventory of ingredients and
materials that can be used in experiments
• BIOVIA Compose/BIOVIA Capture: Provide detailed benchtop
procedure and execution capabilities for technicians executing
experiment steps
• BIOVIA Notebook: Provides Electronic Laboratory Notebook
(ELN) capabilities for documenting and Intellectual Property
protection related to experiment activities
• BIOVIA Registration: Provides formal registration capabilities
for novel chemical and biological entities created and
discovered in experiments
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Figure 7: BIOVIA Experiment and related laboratory applications built on a common technology foundation
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